Publications

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review
Soomro, T. A.; Zheng, L.; Afifi, A. J.; Ali, A.; Soomro, S.; Yin, M.; Gao, J.
2023. IEEE Reviews in Biomedical Engineering, 16, 70–90. doi:10.1109/RBME.2022.3185292

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
Soomro, T. A.; Zheng, L.; Afifi, A. J.; Ali, A.; Yin, M.; Gao, J.
2022. Artificial Intelligence Review, 55 (2), 1409–1439. doi:10.1007/s10462-021-09985-z

Non‐Invasive Process for Analyzing Retinal Blood Vessels Using Deep Learning Techniques
Soomro, T. A.; Afifi, A. J.; Kumar, P.; Keerio, M. U.; Ahmed, S.; Ali, A.
2021. The Smart Cyber Ecosystem for Sustainable Development. Ed.: P. Kumar, 215–233. doi:10.1002/9781119761655.ch11

Synthesizing Fundus Photographies for Training Segmentation Networks
Magnusson, J. S.; Afifi, A. J.; Zhang, S.; Ley, A.; Hellwich, O.
2021. Proceedings of the 2nd International Conference on Deep Learning Theory and Applications. Vol.: 1. Ed.: A. Fred, 67–78, SciTePress. doi:10.5220/0010618100670078

Impact of Novel Image Preprocessing Techniques on Retinal Vessel Segmentation
Soomro, T. A.; Ali, A.; Jandan, N. A.; Afifi, A. J.; Irfan, M.; Alqhtani, S.; Glowacz, A.; Alqahtani, A.; Tadeusiewicz, R.; Kantoch, E.; Zheng, L.
2021. Electronics, 10 (18), Art.-Nr.: 2297. doi:10.3390/electronics10182297 

Pixel2point: 3D Object Reconstruction From a Single Image Using CNN and Initial Sphere
Afifi, A. J.; Magnusson, J.; Soomro, T. A.; Hellwich, O.
2021. IEEE Access, 9, 110–121. doi:10.1109/ACCESS.2020.3046951

Mini V-Net: Depth Estimation from Single Indoor-Outdoor Images using Strided-CNN
Afifi, A.; Hellwich, O.; Soomro, T.
2020. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Vol.: 5: VISAPP, 27-29. Februar, 2020 , Valletta, Malta, 205–214, SciTePress. doi:10.5220/0009356102050214

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
Soomro, T. A.; Afifi, A. J.; Gao, J.; Hellwich, O.; Zheng, L.; Paul, M.
2019. Expert Systems with Applications, 134, 36–52. doi:10.1016/j.eswa.2019.05.029

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation
Soomro, T. A.; Afifi, A. J.; Ali Shah, A.; Soomro, S.; Baloch, G. A.; Zheng, L.; Yin, M.; Gao, J.
2019. IEEE Access, 7, 158183–158197. doi:10.1109/ACCESS.2019.2950228 

Retinal Blood Vessels Extraction of Challenging Images
Soomro, T. A.; Gao, J.; Lihong, Z.; Afifi, A. J.; Soomro, S.; Paul, M.
2019. Data Mining – 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers. Ed.: R. Islam, 347–359, Springer Singapur. doi:10.1007/978-981-13-6661-1_27

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review
Soomro, T. A.; Afifi, A. J.; Zheng, L.; Soomro, S.; Gao, J.; Hellwich, O.; Paul, M.
2019. IEEE Access, 7, 71696–71717. doi:10.1109/ACCESS.2019.2920616

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss
Soomro, T. A.; Afifi, A. J.; Gao, J.; Hellwich, O.; Paul, M.; Zheng, L.
2018. Digital Image Computing: Techniques and Applications (DICTA), Canberra, ACT, Australia, 10-13 December 2018, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2018.8615770

Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network
Afifi, A. J.; Hellwich, O.; Soomro, T. A.
2018. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, 177-184, 2018 , Funchal, Madeira, Portugal, 177–184, SciTePress. doi:10.5220/0006544001770184

Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network
Soomro, T. A.; Afifi, A. J.; Gao, J.; Hellwich, O.; Khan, M. A. U.; Paul, M.; Zheng, L.
2017. 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, 29 November 2017 - 01 December 2017, Australia, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2017.8227413

Object Depth Estimation from a Single Image Using Fully Convolutional Neural Network
Afifi, A. J.; Hellwich, O.
2016. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD, Australia, 30 November 2016 - 02 December 2016, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2016.7797068

Content-Based Image Retrieval Using Invariant Color and Texture Features
Afifi, A. J.; Ashour, W. M.
2012. International Conference on Digital Image Computing Techniques and Applications (DICTA), 03-05 December 2012, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2012.6411665

Image Retrieval Based on Content Using Color Feature
Afifi, A. J.; Ashour, W. M.
2012. ISRN Computer Graphics, 2012, Artikel-Nr.: 248285. doi:10.5402/2012/248285